Mark Graves

53 papers receiving 301 citations

Peers

Mark Graves
Comparison fields: 5 of 106
  • Health Informatics 27
  • Safety Research 41
  • Space and Planetary Science 5
  • Health 22
  • Artificial Intelligence 74
Replace David Elliott with:
David Elliott Canada
Quay Au Germany
Jorge López Puga Spain
Carlos M. Lemos Portugal
Sanlyn Buxner United States
Meng Ji China
Jamie O’Connell United States
William G. Kennedy United States
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Citations per year

Countries citing papers authored by Mark Graves

Since Specialization
Citations

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

Fields of papers citing papers by Mark Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Graves, 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 Mark Graves Line = papers co-authored together Mark Graves links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202238
2 202024
3 201822
4 202115
5 198614
6 201214
7 201314
8 199513
9 202112
10
Mind, Brain and the Elusive Soul: Human Systems of Cognitive Science and Religion
200812
11 198611
12
Designing XML Databases
200110
13
Graph Database Systems for Genomics
20019
14 20029
15
Theories and tools for designing application-specific knowledge-base data models.
19938
16
Integrating order and distance relationships from heterogeneous maps.
19938
17 20257
18 20177
19 20227
20 20175

About Mark Graves

Mark Graves is a scholar working on Artificial Intelligence, Safety Research, Cognitive Neuroscience, Philosophy and Computer Networks and Communications, having authored 58 papers that have together received 329 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (11 papers), Algorithms and Data Compression (7 papers), Psychology of Moral and Emotional Judgment (6 papers), Neuroethics, Human Enhancement, Biomedical Innovations (6 papers), Advanced Database Systems and Queries (5 papers), Semantic Web and Ontologies (4 papers), Evolution and Science Education (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). The work is most often cited by research in Health Informatics (27 citations), Safety Research (41 citations), Space and Planetary Science (5 citations), Health (22 citations) and Artificial Intelligence (74 citations). Mark Graves has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Emanuele Ratti, Charles B. Lawrence, Kelly Bulkeley, Peter L. Finkelstein, J. C. Kaimal, Charles F. Goldfarb, J. E. Gaynor, Colin Brooks, Robert A. Shuchman and Foad Yousef. Their work appears in journals such as Theology and Science, Zygon®, Journal of Atmospheric and Oceanic Technology, Frontiers in Psychology and Psychology of Religion and Spirituality.

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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