Daniel Reichman

109 total papers · 937 total citations
32 papers, 390 citations indexed

About

Daniel Reichman is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Reproductive Medicine. According to data from OpenAlex, Daniel Reichman has authored 32 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 8 papers in Artificial Intelligence and 7 papers in Reproductive Medicine. Recurrent topics in Daniel Reichman's work include Reproductive Biology and Fertility (5 papers), Complexity and Algorithms in Graphs (5 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). Daniel Reichman is often cited by papers focused on Reproductive Biology and Fertility (5 papers), Complexity and Algorithms in Graphs (5 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). Daniel Reichman collaborates with scholars based in United States, Israel and Canada. Daniel Reichman's co-authors include Shai Avidan, Simon Korman, Thomas L. Griffiths, David Bourgin, Joshua C. Peterson, Mayank Agrawal, Daniel Heller, W. Q. Elaine Perunovic, Uriel Feige and Michael Krivelevich and has published in prestigious journals such as Science, Tetrahedron and Human Reproduction.

In The Last Decade

Daniel Reichman

28 papers receiving 377 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Reichman 136 77 59 36 35 32 390
Ik Soo Lim 182 1.3× 59 0.8× 10 0.2× 23 0.6× 21 0.6× 39 378
James P. Cunningham 34 0.3× 79 1.0× 21 0.4× 112 3.1× 11 0.3× 28 441
Tim Smithers 52 0.4× 135 1.8× 24 0.4× 50 1.4× 14 0.4× 33 351
Hao Wang 74 0.5× 221 2.9× 19 0.3× 21 0.6× 14 0.4× 31 399
James R. Riehl 74 0.5× 54 0.7× 72 1.2× 20 0.6× 89 2.5× 26 378
Qin Wu 121 0.9× 63 0.8× 17 0.3× 12 0.3× 106 3.0× 34 416
Su Zhang 67 0.5× 84 1.1× 29 0.5× 10 0.3× 18 0.5× 40 353
Michael K. Martin 11 0.1× 92 1.2× 33 0.6× 11 0.3× 39 1.1× 28 355
Leslie M. Blaha 159 1.2× 95 1.2× 4 0.1× 143 4.0× 27 0.8× 34 440
Kevin Robert Canini 65 0.5× 221 2.9× 9 0.2× 10 0.3× 59 1.7× 16 414

Countries citing papers authored by Daniel Reichman

Since Specialization
Citations

This map shows the geographic impact of Daniel Reichman'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 Daniel Reichman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Reichman more than expected).

Fields of papers citing papers by Daniel Reichman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Reichman. 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 Daniel Reichman. The network helps show where Daniel Reichman may publish in the future.

Co-authorship network of co-authors of Daniel Reichman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Reichman. A scholar is included among the top collaborators of Daniel Reichman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Reichman. Daniel Reichman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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