John Realpe-Gómez

786 citations
15 papers · 480 · h-index 9

Impact in

Papers in

John Realpe-Gómez

14 papers receiving 445 citations

Peers

John Realpe-Gómez
Comparison fields: 5 of 73
  • Artificial Intelligence 364
  • Computational Theory and Mathematics 84
  • Atomic and Molecular Physics, and Optics 106
  • Statistical and Nonlinear Physics 24
  • Hardware and Architecture 11
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Christa Zoufal Switzerland
Robert Salzmann United Kingdom
Joshua Job United States
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Yasunari Suzuki Japan
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Guillaume Verdon Canada
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Citations per field
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Citations per year

Countries citing papers authored by John Realpe-Gómez

Since Specialization
Citations

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

Fields of papers citing papers by John Realpe-Gómez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Realpe-Gómez. 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 John Realpe-Gómez. The network helps show where John Realpe-Gómez may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018143
2 2016138
3 201865
4 201657
5 201317
6 201810
7 200810
8 20129
9
Quantum-assisted learning of graphical models with arbitrary pairwise connectivity
20178
10 20118
11 20096
12 20185
13 20213
14
Estimation of effective temperatures in quantum annealers for sampling applications: A case study towards deep learning
20151
15 20240

About John Realpe-Gómez

John Realpe-Gómez is a scholar working on Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Safety Research, having authored 15 papers that have together received 480 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (5 papers), Evolutionary Game Theory and Cooperation (4 papers), Quantum Information and Cryptography (3 papers), Neural Networks and Reservoir Computing (3 papers), Experimental Behavioral Economics Studies (2 papers), Opinion Dynamics and Social Influence (2 papers), Game Theory and Applications (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Artificial Intelligence (364 citations), Computational Theory and Mathematics (84 citations), Atomic and Molecular Physics, and Optics (106 citations), Statistical and Nonlinear Physics (24 citations) and Hardware and Architecture (11 citations). John Realpe-Gómez has collaborated with scholars based in Colombia, Italy and United Kingdom. Frequent co-authors include Alejandro Perdomo‐Ortiz, Marcello Benedetti, Rupak Biswas, Tobias Galla, Alan J. McKane, Giulia Andrighetto, Riccardo Zecchina, Eleanor Rieffel, Sergey Knysh and Davide Venturelli. Their work appears in journals such as Quantum Science and Technology, Physical review. A, Journal of Physics A Mathematical and Theoretical, Parallel Computing and Ecological Complexity.

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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