ML Tlachac

41 papers receiving 409 citations

Peers

ML Tlachac
Comparison fields: 5 of 51
  • Applied Psychology 175
  • Experimental and Cognitive Psychology 183
  • Social Psychology 216
  • Applied Microbiology and Biotechnology 6
  • Artificial Intelligence 111
Replace Simon Provoost with:
Simon Provoost Netherlands
Reynaldo Morillo United States
Jonathan J. Marsh United States
Ugan Yasavur United States
Hana Boukricha Germany
Deok-Hee Kim-Dufor France
Shweta Ware United States
Victor R. Martínez United States
Brian Stasak Australia
Alain Sauteraud France
ML Tlachac relative to Simon Provoost Netherlands Simon Provoost's profile →
Citations per field
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Simon Provoost · 1×
Citations per year

Countries citing papers authored by ML Tlachac

Since Specialization
Citations

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

Fields of papers citing papers by ML Tlachac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside ML Tlachac, 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 ML Tlachac Line = papers co-authored together ML Tlachac links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202046
2 202141
3 202231
4 202124
5 202221
6 202019
7 202019
8 201916
9 202216
10 202116
11 202214
12 202113
13 202213
14 202212
15 20249
16 20209
17 20229
18 20218
19 20218
20 20228

About ML Tlachac

ML Tlachac is a scholar working on Applied Psychology, Experimental and Cognitive Psychology, Social Psychology, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 43 papers that have together received 417 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (21 papers), Mental Health via Writing (20 papers), Mental Health Research Topics (16 papers), Emotion and Mood Recognition (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Antibiotic Use and Resistance (3 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Applied Psychology (175 citations), Experimental and Cognitive Psychology (183 citations), Social Psychology (216 citations), Applied Microbiology and Biotechnology (6 citations) and Artificial Intelligence (111 citations). ML Tlachac has collaborated with scholars based in United States, Chile and Switzerland. Frequent co-authors include Elke Angelika Rundensteiner, Ermal Toto, Francis L. Stevens, Michael V. Heinz, Katherine L. Dixon–Gordon, Lane Harrison, Shira Doron, Tingting Zhao, Kerri Barton and George D. Price. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Affective Computing, Sexuality & Culture and Journal of Computer Information Systems.

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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