Mitra Baratchi

816 citations
47 papers · 462 · 1 hit paper · h-index 13

Impact in

Papers in

Mitra Baratchi

43 papers receiving 450 citations

Mitra Baratchi's Hit Papers

Automated machine learning: past, present and future 2024 · 58 citations
580+1Years since publication1020304050

Peers

Mitra Baratchi
Comparison fields: 5 of 96
  • Transportation 109
  • Signal Processing 44
  • Computer Science Applications 20
  • Environmental Engineering 41
  • Ecology 65
Replace Haozhou Wang with:
Haozhou Wang China
Carole Dulong United States
Susanne Bleisch Switzerland
Youssef Kaddoura United States
Alfredo Nantes Australia
Jianhui Huang China
Vera Sacristán Spain
Md. Al Mamun Bangladesh
Damien Fay United Kingdom
Yanyou Qiao China
Mitra Baratchi relative to Haozhou Wang China Haozhou Wang's profile →
Citations per field
00.5×4.3×
Haozhou Wang · 1×
Citations per year

Countries citing papers authored by Mitra Baratchi

Since Specialization
Citations

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

Fields of papers citing papers by Mitra Baratchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automated machine learning: past, present and future
Hit paper breakdown →
202458
2 201353
3 201438
4 202136
5 201924
6 202223
7 201721
8 201817
9 202215
10 202213
11 201313
12 202113
13 202112
14 202212
15 201310
16 20229
17 20138
18 20238
19 20247
20 20196

About Mitra Baratchi

Mitra Baratchi is a scholar working on Transportation, Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing and Artificial Intelligence, having authored 47 papers that have together received 462 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (12 papers), Data Management and Algorithms (6 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Time Series Analysis and Forecasting (5 papers), Data-Driven Disease Surveillance (4 papers), Mobile Ad Hoc Networks (4 papers), Indoor and Outdoor Localization Technologies (4 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Transportation (109 citations), Signal Processing (44 citations), Computer Science Applications (20 citations), Environmental Engineering (41 citations) and Ecology (65 citations). Mitra Baratchi has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Nirvana Meratnia, Paul Havinga, Holger H. Hoos, Andrew K. Skidmore, Thomas Bäck, Steffen Limmer, Markus Olhofer, Peter M. van Bodegom, Jan N. van Rijn and Bert Toxopeus. Their work appears in journals such as Sensors, Remote Sensing, Data Mining and Knowledge Discovery, Artificial Intelligence Review and Applied Network Science.

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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