John D. Kececioglu
Impact in
- Genetics top 5%
- Genome Rearrangement Algorithms
- Artificial Intelligence top 2%
- Algorithms and Data Compression
Papers in
-
- Algorithms and Data Compression 32
-
- Genomics and Phylogenetic Studies 38
- Glycosylation and Glycoproteins Research 7
- Machine Learning in Bioinformatics 7
- Protein Structure and Dynamics 5
- Microbial Metabolic Engineering and Bioproduction 5
- Co-authors
- David Sankoff (3 shared papers)Stephen F. Altschul (1 shared paper)David J. Lipman (1 shared paper)Travis J. Wheeler (5 shared papers)Eugene Wimberly Myers (1 shared paper)Alejandro A. Schäffer (2 shared papers)Sandeep K. S. Gupta (2 shared papers)R. Ravi (3 shared papers)
- Journals
- Journal of Computational Biology (6 papers)Bioinformatics (3 papers)Discrete Applied Mathematics (3 papers)The Astronomical Journal (2 papers)Algorithms for Molecular Biology (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
John D. Kececioglu
62 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 120
- Genetics 625
- Artificial Intelligence 767
- Molecular Biology 1.4k
- Signal Processing 139
- Plant Science 308
Countries citing papers authored by John D. Kececioglu
This map shows the geographic impact of John D. Kececioglu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John D. Kececioglu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Kececioglu more than expected).
Fields of papers citing papers by John D. Kececioglu
This network shows the impact of papers produced by John D. Kececioglu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John D. Kececioglu. The network helps show where John D. Kececioglu may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. Kececioglu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 386 | |
| 2 | 1995 | 224 | |
| 3 | 2007 | 209 | |
| 4 | 1995 | 151 | |
| 5 | 1995 | 131 | |
| 6 | 2004 | 111 | |
| 7 | 1994 | 74 | |
| 8 | Of mice and men: Algorithms for evolutionary distances between genomes with translocation | 1995 | 72 |
| 9 | 2021 | 60 | |
| 10 | 2005 | 52 | |
| 11 | 1997 | 47 | |
| 12 | 2005 | 47 | |
| 13 | 1996 | 46 | |
| 14 | 2000 | 43 | |
| 15 | 2004 | 39 | |
| 16 | 1998 | 34 | |
| 17 | 2006 | 30 | |
| 18 | 1997 | 29 | |
| 19 | 1998 | 27 | |
| 20 | 2012 | 21 |
About John D. Kececioglu
John D. Kececioglu is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Information Systems and Management and Computational Theory and Mathematics, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (38 papers), Algorithms and Data Compression (32 papers), Genome Rearrangement Algorithms (17 papers), Glycosylation and Glycoproteins Research (7 papers), Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (5 papers), Scientific Computing and Data Management (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Genetics (625 citations), Artificial Intelligence (767 citations), Molecular Biology (1.4k citations), Signal Processing (139 citations) and Plant Science (308 citations). John D. Kececioglu has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include David Sankoff, Stephen F. Altschul, David J. Lipman, Travis J. Wheeler, Eugene Wimberly Myers, Alejandro A. Schäffer, Sandeep K. S. Gupta, R. Ravi, Dan F. DeBlasio and Dan Gusfield. Their work appears in journals such as Journal of Computational Biology, Bioinformatics, Discrete Applied Mathematics, The Astronomical Journal and Algorithms for Molecular Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.