Melanie Mitchell

20.0k citations
86 papers · 11.3k indexed · 3 hit papers · h-index 35

Impact in

Papers in

Melanie Mitchell

81 papers receiving 10.2k citations

Hit Papers

The debate over understanding in AI’s large language models 2023 · 136 citations
1360+10+20Years since publication2.5k5.0k7.5k

Peers

Melanie Mitchell
Comparison fields: 5 of 225
  • Artificial Intelligence 3.7k
  • Computational Theory and Mathematics 1.6k
  • Industrial and Manufacturing Engineering 643
  • Management Science and Operations Research 606
  • Computer Networks and Communications 1.1k
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Citations per field
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Citations per year

Countries citing papers authored by Melanie Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Melanie Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Melanie Mitchell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Melanie Mitchell Line = papers co-authored together Melanie Mitchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Introduction to Genetic Algorithms
Hit paper breakdown →
19967515
2
Darwin's dangerous idea
Hit paper breakdown →
1996519
3 1993219
4 1994200
5 2006187
6
The Copycat project: a model of mental fluidity and analogy-making
1995156
7 1995151
8
Adaptive Individuals In Evolving Populations: Models And Algorithms
1996149
9
The debate over understanding in AI’s large language models
Hit paper breakdown →
2023136
10 1994131
11
Analogy-Making as Perception: A Computer Model
1993121
12 1994102
13 199887
14
Artificial Intelligence: A Guide for Thinking Humans
201983
15 199981
16 199377
17
Evolving Globally Synchronized Cellular Automata
199572
18 199462
19 199958
20
Evolving Cellular Automata with Genetic Algorithms: A Review of Recent Work
199657

About Melanie Mitchell

Melanie Mitchell is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Sociology and Political Science, Molecular Biology and Computer Vision and Pattern Recognition, having authored 86 papers that have together received 11.3k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (28 papers), Cellular Automata and Applications (14 papers), Metaheuristic Optimization Algorithms Research (12 papers), Computability, Logic, AI Algorithms (9 papers), Evolutionary Game Theory and Cooperation (8 papers), Evolution and Genetic Dynamics (6 papers), DNA and Biological Computing (5 papers) and Artificial Immune Systems Applications (5 papers). The work is most often cited by research in Artificial Intelligence (3.7k citations), Computational Theory and Mathematics (1.6k citations), Industrial and Manufacturing Engineering (643 citations), Management Science and Operations Research (606 citations) and Computer Networks and Communications (1.1k citations). Melanie Mitchell has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include James P. Crutchfield, Stephanie Forrest, Peter Hraber, Douglas R. Hofstadter, Richard K. Belew, David C. Krakauer, Payel Ghosh, Erik van Nimwegen, Charles Taylor and F. D. Seward. Their work appears in journals such as Complexity, Machine Learning, Artificial Intelligence, Science and Mental Retardation and Developmental Disabilities Research Reviews.

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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