Joshua Chover

1.6k total citations · 1 hit paper
27 papers, 1.1k citations indexed

About

Joshua Chover is a scholar working on Mathematical Physics, Statistics and Probability and Cognitive Neuroscience. According to data from OpenAlex, Joshua Chover has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mathematical Physics, 6 papers in Statistics and Probability and 5 papers in Cognitive Neuroscience. Recurrent topics in Joshua Chover's work include Neural dynamics and brain function (5 papers), Stochastic processes and statistical mechanics (4 papers) and Advanced Memory and Neural Computing (3 papers). Joshua Chover is often cited by papers focused on Neural dynamics and brain function (5 papers), Stochastic processes and statistical mechanics (4 papers) and Advanced Memory and Neural Computing (3 papers). Joshua Chover collaborates with scholars based in United States and United Kingdom. Joshua Chover's co-authors include J. L. Doob, Peter Ney, Stephen Wainger, Hirofumi Koen, Grace Wahba, Thomas D. Pugh, Stanley Goldfarb, Douglas Nychka, William Feller and Jacob J. Feldman and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Neuroreport.

In The Last Decade

Joshua Chover

24 papers receiving 965 citations

Hit Papers

Markov Processes and Potential Theory 1969 2026 1988 2007 1969 100 200 300

Peers

Joshua Chover
Comparison fields: 5 of 99
  • Mathematical Physics 493
  • Finance 372
  • Management Science and Operations Research 335
  • Statistics and Probability 231
  • Applied Mathematics 180
Replace Torgny Lindvall with:
Torgny Lindvall Sweden
William E. Pruitt United States
Naresh C. Jain United States
Pál Révész Austria
Wim Vervaat Netherlands
Makoto Maejima Japan
G. L. O’Brien Canada
Ю. В. Ліннік
Yu. V. Prokhorov Russia
B. A. Rogozin Russia
Torgny Lindvall Sweden View profile →
Citations per field, relative to Joshua Chover
Joshua Chover · 1×
Citations per year, relative to Joshua Chover
Joshua Chover · 1×

Countries citing papers authored by Joshua Chover

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Chover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Chover

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Chover. A scholar is included among the top collaborators of Joshua Chover 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 Joshua Chover. Joshua Chover 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
# Work Indexed citations
1 3
2 2
3 2
4 2
5
Phase Transitions in Neural Networks
2
6 10
7
Optimal use of sampled tissue sections for estimating the number of hepatocellular foci.
15
8 2
9 0
10 193
11 29
12 110
13 15
14 8
15 55
16 1
17 1
18 2
19 2
20 4

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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