George Forman

6.1k total citations · 2 hit papers
42 papers, 3.8k citations indexed

About

George Forman is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, George Forman has authored 42 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in George Forman's work include Machine Learning and Data Classification (8 papers), Automated Road and Building Extraction (7 papers) and Distributed systems and fault tolerance (6 papers). George Forman is often cited by papers focused on Machine Learning and Data Classification (8 papers), Automated Road and Building Extraction (7 papers) and Distributed systems and fault tolerance (6 papers). George Forman collaborates with scholars based in United States, China and Mexico. George Forman's co-authors include John Zahorjan, Martin Scholz, Cullen Bash, Yanmin Zhu, Bin Zhang, Yin Wang, Hongwei Ma, Kave Eshghi, Jakob Eriksson and Xuemei Liu and has published in prestigious journals such as Computer, Journal of Machine Learning Research and Palliative Medicine.

In The Last Decade

George Forman

40 papers receiving 3.4k citations

Hit Papers

An extensive empirical study of feature selection metrics... 1994 2026 2004 2015 2003 1994 500 1000 1.5k

Peers

George Forman
Comparison fields: 5 of 168
  • Artificial Intelligence 1.9k
  • Information Systems 1.2k
  • Computer Networks and Communications 902
  • Computer Vision and Pattern Recognition 724
  • Signal Processing 409
Replace Geoffrey J. Gordon with:
Geoffrey J. Gordon United States
Guoren Wang China
Li Guo China
David W. Cheung Hong Kong
Ramón Sangüesa Spain
Xiaoyong Du China
Philippe Cudré-Mauroux Switzerland
Zhikui Chen China
Ge Yu China
Mei‐Ling Shyu United States
Geoffrey J. Gordon United States View profile →
Citations per field, relative to George Forman
George Forman · 1×
Citations per year, relative to George Forman
George Forman · 1×

Countries citing papers authored by George Forman

Since Specialization
Citations

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

Fields of papers citing papers by George Forman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Forman

This figure shows the co-authorship network connecting the top 25 collaborators of George Forman. A scholar is included among the top collaborators of George Forman 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 George Forman. George Forman 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 9
2 8
3 16
4 43
5 1
6 20
7 49
8
Cool job allocation: measuring the power savings of placing jobs at cooling-efficient locations in the data center
141
9
Feature selection: We've barely scratched the surface
14
10 154
11
An extensive empirical study of feature selection metrics for text classification breakdown →
1645
12
Incremental machine learning to reduce biochemistry lab costs in the search for drug discovery
7
13
Reggio fuera de Reggio
0
14
Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up: Demonstrated for Center-Based Data Clustering Algorithms
17
15
The challenges of mobile computing
24
16
Wanted: programming support for ensuring responsiveness despite resource variability and volatility
0
17
Automated Whole-System Diagnosis of Distributed Services Using Model-Based Reasoning
5
18 4
19
Obtaining responsiveness in resource-variable environments
1
20
The challenges of mobile computing breakdown →
551

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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