During the 1980s, Kieffer was Associate Editor of the IEEE Transactions on Information Theory.[5]
In 2004, Kieffer was co-editor of a special issue of the IEEE Transactions on Information Theory entitled "Problems on Sequences: Information Theory and Computer Science Interface".
[6] He is a Life Fellow of the Institute of Electrical and Electronics Engineers "for contributions to information theory, particularly coding theory and quantization".[7]
Kieffer, J.C.; Yang, En-Hui (2000), "Grammar-based codes: A new class of universal lossless source codes", IEEE Transactions on Information Theory, 46 (3): 737–754, doi:10.1109/18.841160
Zhang, Jie; Yang, En-Hui; Kieffer, J.C. (2014), "A Universal Grammar-Based Code For Lossless Compression of Binary Trees", IEEE Transactions on Information Theory, 60 (3): 1373–1386, arXiv:1304.7392, doi:10.1109/TIT.2013.2295392, S2CID13892229
Kieffer, John C. (1974), "A general formula for the capacity of stationary nonanticipatory channels", Information and Control, 26 (4): 381–391, doi:10.1016/S0019-9958(74)80006-9
Kieffer, J. C. (1981), "Block coding for weakly continuous channels", IEEE Transactions on Information Theory, 27 (6): 721–727, doi:10.1109/TIT.1981.1056422
Gray, R. M.; Kieffer, J. C.; Linde, Y. (1980), "Locally optimal block quantizer design", Information and Control, 45 (2): 178–198, doi:10.1016/S0019-9958(80)90313-7
Kieffer, J. C. (1983), "Uniqueness of locally optimal quantizer for log-concave density and convex error weighting function", IEEE Transactions on Information Theory, 29 (1): 42–47, doi:10.1109/TIT.1983.1056622
Kieffer, J. C. (1975), "A generalized Shannon-McMillan theorem for the action of an amenable group on a probability space", Annals of Probability, 3 (6): 1031–1037, doi:10.1214/aop/1176996230
Kieffer, John C.; Rahe, Maurice (1981), "Markov channels are asymptotically mean stationary", SIAM Journal on Mathematical Analysis, 12 (3): 293–305, doi:10.1137/0512027
Kieffer has over 70 journal publications in the mathematical sciences.[11]
His research work has attracted over 3000 Google Scholar citations,[12] over 500 MathSciNet citations[13]
and over 1000 IEEE Xplore citations.[3] Some of these works have been cited as prior art
on various United States patents.[14]
In 1998, the IEEE Transactions on Information Theory published a special issue consisting of articles that survey research in information theory during 1948–1998. Two
of these articles include discussions of Kieffer's work, namely, the article Lossy Source Coding[15] by Toby Berger and Jerry Gibson, and the article Quantization[16] by
Robert M. Gray and David Neuhoff. In addition, the textbook Transmitting and Gaining Data[17] by Rudolf Ahlswede presents several aspects of Kieffer's work.