Jay M. Tenenbaum

5.6k total citations · 1 hit paper
78 papers, 3.3k citations indexed

About

Jay M. Tenenbaum is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiation. According to data from OpenAlex, Jay M. Tenenbaum has authored 78 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 10 papers in Radiation. Recurrent topics in Jay M. Tenenbaum's work include Nuclear Physics and Applications (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Manufacturing Process and Optimization (8 papers). Jay M. Tenenbaum is often cited by papers focused on Nuclear Physics and Applications (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Manufacturing Process and Optimization (8 papers). Jay M. Tenenbaum collaborates with scholars based in United States, Israel and United Kingdom. Jay M. Tenenbaum's co-authors include Harry G. Barrow, H. C. Wolf, Mark R. Cutkosky, Robert C. Bolles, Martin A. Fischler, Thomas Gruber, Jay Glicksman, Jay C. Weber, Robert J. Glushko and R. Fikes and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Jay M. Tenenbaum

73 papers receiving 2.9k citations

Hit Papers

Parametric correspondence and chamfer matching: two new t... 1977 2026 1993 2009 1977 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jay M. Tenenbaum United States 25 1.2k 655 574 300 297 78 3.3k
Paul R. Cohen United States 30 1.6k 1.3× 2.0k 3.0× 197 0.3× 315 1.1× 85 0.3× 259 4.7k
Robert M. Freund United States 25 1.6k 1.3× 1.2k 1.8× 220 0.4× 129 0.4× 267 0.9× 84 4.3k
Christoph M. Hoffmann United States 35 765 0.6× 497 0.8× 1.2k 2.0× 331 1.1× 30 0.1× 164 4.4k
Kenneth Steiglitz United States 19 843 0.7× 1.2k 1.8× 957 1.7× 1.6k 5.5× 65 0.2× 45 5.2k
Patrick Brézillon France 18 563 0.5× 2.3k 3.5× 167 0.3× 600 2.0× 239 0.8× 98 4.3k
Alan K. Mackworth Canada 26 1.5k 1.2× 1.7k 2.6× 287 0.5× 1.9k 6.3× 48 0.2× 92 4.9k
Sanyang Liu China 32 708 0.6× 2.7k 4.2× 508 0.9× 554 1.8× 36 0.1× 389 6.2k
Michael N. Huhns United States 26 369 0.3× 1.8k 2.7× 194 0.3× 1.1k 3.7× 563 1.9× 154 3.6k
Alan Bundy United Kingdom 17 983 0.8× 2.3k 3.6× 119 0.2× 450 1.5× 90 0.3× 92 4.7k
Hans-Georg Beyer Austria 30 348 0.3× 3.8k 5.8× 409 0.7× 351 1.2× 45 0.2× 120 6.6k

Countries citing papers authored by Jay M. Tenenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Jay M. Tenenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay M. Tenenbaum. 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 Jay M. Tenenbaum. The network helps show where Jay M. Tenenbaum may publish in the future.

Co-authorship network of co-authors of Jay M. Tenenbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Jay M. Tenenbaum. A scholar is included among the top collaborators of Jay M. Tenenbaum 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 Jay M. Tenenbaum. Jay M. Tenenbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vidwans, Smruti J., Keith T. Flaherty, David E. Fisher, et al.. (2011). A Melanoma Molecular Disease Model. PLoS ONE. 6(3). e18257–e18257. 67 indexed citations
2.
Tenenbaum, Jay M.. (2006). AI Meets Web 2.0: Building the Web of Tomorrow, Today. AI Magazine. 27(4). 47–68. 16 indexed citations
3.
Finger, Susan, Suresh Konda, Ira Monarch, et al.. (1994). Creating an Advanced Collaborative Open Resource Network. 375–380. 4 indexed citations
4.
Tenenbaum, Jay M., et al.. (1991). Toward an intelligent agent framework for enterprise integration. 79(2). 206–212. 9 indexed citations
5.
Tenenbaum, Jay M., et al.. (1989). A framework for knowledge-based computer-integrated manufacturing. IEEE Transactions on Semiconductor Manufacturing. 2(2). 33–46. 36 indexed citations
6.
Tenenbaum, Jay M., et al.. (1986). PIES: An engineer's Do-It-Yourself knowledge system for interpretation of parametric test data. AI Magazine. 7(4). 62–69. 27 indexed citations
7.
Tenenbaum, Jay M. & Andrew Witkin. (1984). Perceptual organization as building blocks for vision (A). 1. 1216. 1 indexed citations
8.
Witkin, Andrew & Jay M. Tenenbaum. (1983). What is perceptual organization for. International Joint Conference on Artificial Intelligence. 63(5). 1023–1026. 14 indexed citations
9.
Moreh, R., O. Shahal, & Jay M. Tenenbaum. (1983). Photoexcitation of levels at 6605 keV in48Ti and 7362 keV in68Zn. Journal of Physics G Nuclear Physics. 9(7). 755–762. 8 indexed citations
10.
Barrow, Harry G. & Jay M. Tenenbaum. (1978). RECOVERING INTRINSIC SCENE CHARACTERISTICS FROM IMAGES. Cancer Medicine. 13(20). e70312–e70312. 495 indexed citations
11.
Barrow, Harry G., et al.. (1977). Experiments in map-guided photo interpretation. International Joint Conference on Artificial Intelligence. 696. 4 indexed citations
12.
Barrow, Harry G., Jay M. Tenenbaum, Robert C. Bolles, & H. C. Wolf. (1977). Parametric correspondence and chamfer matching: two new techniques for image matching. Defense Technical Information Center (DTIC). 659–663. 476 indexed citations breakdown →
13.
Garvey, Thomas D. & Jay M. Tenenbaum. (1976). Application of Interactive Scene Analysis Techniques to Cartography. Defense Technical Information Center (DTIC). 1 indexed citations
14.
Tenenbaum, Jay M., et al.. (1975). A region-analysis subsystem for interactive scene analysis. International Joint Conference on Artificial Intelligence. 143(1). 682–687. 10 indexed citations
15.
Tenenbaum, Jay M., et al.. (1975). MSYS: A System for Reasoning About Scenes.. Defense Technical Information Center (DTIC). 41 indexed citations
16.
Firschein, Oscar, Martin A. Fischler, L. Stephen Coles, & Jay M. Tenenbaum. (1973). Forecasting and assessing the impact of artificial intelligence on society. International Joint Conference on Artificial Intelligence. 105–120. 21 indexed citations
17.
Tenenbaum, Jay M., Alan Kay, Thomas O. Binford, et al.. (1971). A Laboratory for Hand-Eye Research.. IFIP Congress. 206–210. 10 indexed citations
18.
Tenenbaum, Jay M., et al.. (1971). Representation and Execution of Searchers Over Large Tree-Structured Data Bases.. IFIP Congress. 460–472. 1 indexed citations
19.
Tenenbaum, Jay M., et al.. (1971). An accommodating edge follower. International Joint Conference on Artificial Intelligence. 1–7. 20 indexed citations
20.
Tenenbaum, Jay M., B. Arad, G. Ben-David, & R. Moreh. (1967). NEUTRON CAPTURE GAMMA RAYS FROM NATURAL TITANIUM.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3(1). e114–e114. 2 indexed citations

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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