Tahmid Latif

611 citations
25 papers · 469 indexed · h-index 11
Topics
Insect and Arachnid Ecology and Behavior (6 papers)Neurobiology and Insect Physiology Research (6 papers)Neuroscience and Neural Engineering (6 papers)

In The Last Decade

Tahmid Latif

24 papers receiving 447 citations

Peers

Tahmid Latif
Comparison fields: 5 of 77
  • Biomedical Engineering 122
  • Genetics 118
  • Cellular and Molecular Neuroscience 117
  • Aerospace Engineering 93
  • Mechanical Engineering 77
Replace Gábor Vásárhelyi with:
Gábor Vásárhelyi Hungary
John R. Stowers New Zealand
Daniel H. Chae Australia
Hemal Naik Germany
Benjamin Koger Germany
Eric Whitmire United States
Takeshi Takaki Japan
D. E. Koditschek United States
Shaokai Ye United States
Christopher Assad United States
Tahmid Latif relative to Gábor Vásárhelyi Hungary Gábor Vásárhelyi's profile →
Citations per field
00.5×4.5×
Gábor Vásárhelyi · 1×
Citations per year

Countries citing papers authored by Tahmid Latif

Since Specialization
Citations

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

Fields of papers citing papers by Tahmid Latif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tahmid Latif

This figure shows the co-authorship network connecting the top 25 collaborators of Tahmid Latif. A scholar is included among the top collaborators of Tahmid Latif based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tahmid Latif. Tahmid Latif is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 10
3 17
4 1
5 5
6 15
7 18
8 3
9 3
10
Tissue-Electrode Interface Characterization for Optimization of Biobotic Control of Roach-bots.
2
11 7
12 8
13 23
14 12
15 17
16 1
17 70
18 18
19 2
20 4

About Tahmid Latif

Tahmid Latif is a scholar working on Developmental Biology, Cellular and Molecular Neuroscience and Aerospace Engineering, having authored 25 papers that have together received 469 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (6 papers), Neurobiology and Insect Physiology Research (6 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Developmental Biology (28 citations), Human-Computer Interaction (39 citations) and Cellular and Molecular Neuroscience (117 citations). Tahmid Latif has collaborated with scholars based in United States, Bangladesh and United Kingdom. Frequent co-authors include Alper Bozkurt, Eric Whitmire, James Dieffenderfer, Katherine Walker, Rita Brugarolas, David L. Roberts, Barbara L. Sherman, Edgar Lobatón, Mihail L. Sichitiu and Shah Ahsanul Haque. Their work appears in journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and IEEE Sensors Journal.

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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