I. R. Goodman

41 papers receiving 713 citations

Peers

I. R. Goodman
Comparison fields: 5 of 82
  • Artificial Intelligence 606
  • Management Science and Operations Research 202
  • Computer Networks and Communications 157
  • Computational Theory and Mathematics 128
  • Statistics and Probability 120
Replace Alessio Benavoli with:
Alessio Benavoli Switzerland
Tim Zajic United States
John T. Rickard United States
Vladislav B. Tadić United Kingdom
J.S. Sadowsky United States
K. Mehrotra United States
Marie-Hélène Masson France
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I. R. Goodman relative to Alessio Benavoli Switzerland Alessio Benavoli's profile →
Citations per field
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Citations per year

Countries citing papers authored by I. R. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by I. R. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. R. Goodman. 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 I. R. Goodman. The network helps show where I. R. Goodman may publish in the future.

Co-authorship network of co-authors of I. R. Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of I. R. Goodman. A scholar is included among the top collaborators of I. R. Goodman 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 I. R. Goodman. I. R. Goodman 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 0
2 5
3 9
4 4
5 3
6
Reasoning with Assertions of High Conditional Probability: Entailment with Universal Near Surety.
2
7 4
8 1
9 4
10
A New Characterization of Fuzzy Logic Operators Producing Homomorphic-Like Relations with One-Point Coverages of Random Sets.
8
11 16
12 12
13
A Revised Approach to Combining Linguistic and Probabilistic Information in Correlation
1
14 11
15 5
16
Extension of the Measure-Free Approach to Conditioning of Fuzzy Sets and Other Logics.
1
17 2
18
PACT: Possibilistic Approach to Correlation and Tracking
1
19 3
20 42

About I. R. Goodman

I. R. Goodman is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics, having authored 47 papers that have together received 791 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (24 papers), Logic, Reasoning, and Knowledge (18 papers) and Multi-Criteria Decision Making (14 papers). The work is most often cited by research in Artificial Intelligence (606 citations), Management Science and Operations Research (202 citations) and Statistics and Probability (120 citations). I. R. Goodman has collaborated with scholars based in United States and Mexico. Frequent co-authors include Hung T. Nguyen, Ronald Mahler, Hung T. Nguyen, Samuel Kotz, Donald Bamber, Gerald S. Rogers, Владик Крейнович, Thomas Whalen, Lotfi Zadeh and JingTao Yao. Their work appears in journals such as Information Sciences, Fuzzy Sets and Systems and Journal of Mathematical Analysis and Applications.

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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