Robert L. Grossman

29.7k citations
214 papers · 7.7k indexed · 2 hit papers · h-index 43
Topics
Data Mining Algorithms and Applications (25 papers)Scientific Computing and Data Management (22 papers)Advanced Database Systems and Queries (22 papers)

In The Last Decade

Robert L. Grossman

196 papers receiving 7.2k citations

Hit Papers

Toward a Shared Vision for Cancer Genomic Data2009202620142020201620092505007501000

Peers

Robert L. Grossman
Comparison fields: 5 of 192
  • Computer Networks and Communications 1.9k
  • Molecular Biology 1.6k
  • Information Systems 1.5k
  • Artificial Intelligence 1.2k
  • Cancer Research 762
Replace J. S. Marron with:
J. S. Marron United States
Yin Zhang⋆ China
Ron Shamir Israel
Yike Guo United Kingdom
Joel Saltz United States
Brendan J. Frey Canada
Thomas Brendan Murphy Ireland
José A. Lozano Spain
Andreas Krause Switzerland
Pedro Larrañaga Spain
Robert L. Grossman relative to J. S. Marron United States J. S. Marron's profile →
Citations per field
00.5×3.7×
J. S. Marron · 1×
Citations per year

Countries citing papers authored by Robert L. Grossman

Since Specialization
Citations

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

Fields of papers citing papers by Robert L. Grossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. Grossman. 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 Robert L. Grossman. The network helps show where Robert L. Grossman may publish in the future.

Co-authorship network of co-authors of Robert L. Grossman

This figure shows the co-authorship network connecting the top 25 collaborators of Robert L. Grossman. A scholar is included among the top collaborators of Robert L. Grossman 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 Robert L. Grossman. Robert L. Grossman 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
#WorkIndexed citations
1 1
2 1
3 3
4 2
5 66
6 3
7
Evaluating and interpreting caption prediction for histopathology images
2
8 23
9 26
10 180
11 46
12 8
13
Proceedings of the 2012 workshop on Cloud services, federation, and the 8th open cirrus summit
2
14 1
15
KDD-2005 : proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 21-24, 2005, Chicago, Illinois, USA
21
16
A Methodology for Establishing Information Quality Baselines for Complex, Distributed Systems
4
17 173
18
Numerical Solutions for Partial Differential Equations: Problem Solving Using Mathematica (with Disk)
10
19
Data mining and tree-based optimization
9
20 11

About Robert L. Grossman

Robert L. Grossman is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems, having authored 214 papers that have together received 7.7k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (25 papers), Scientific Computing and Data Management (22 papers) and Advanced Database Systems and Queries (22 papers). The work is most often cited by research in Computer Networks and Communications (1.9k citations), Information Systems (1.5k citations) and Information Systems and Management (371 citations). Robert L. Grossman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Yunhong Gu, Louis M. Staudt, Vincent Ferretti, Allison P. Heath, Warren A. Kibbe, Douglas R. Lowy, Harold Varmus, Rachel Yehuda, Yanhong Zhai and P.E. Crouch. Their work appears in journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.

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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