Martin Pham

729 citations
14 papers · 469 · h-index 11

Impact in

Papers in

Martin Pham

14 papers receiving 458 citations

Peers

Martin Pham
Comparison fields: 5 of 50
  • Automotive Engineering 370
  • Electrical and Electronic Engineering 375
  • Bioengineering 10
  • Control and Systems Engineering 39
  • Energy Engineering and Power Technology 5
Replace Ximing Cheng with:
Ximing Cheng China
Xiaobin Xue China
Barry Van Tassell United States
Kuijie Li China
Nassim A. Samad United States
Alexander Rheinfeld Germany
Hans‐Rolf Tränkler Germany
Daniel Worwood United Kingdom
Cecilio Blanco Spain
Maxime Montaru France
Martin Pham relative to Ximing Cheng China Ximing Cheng's profile →
Citations per field
00.5×1.5×2.3×
Ximing Cheng · 1×
Citations per year

Countries citing papers authored by Martin Pham

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201963
2 202054
3 201952
4 202152
5 202250
6 202148
7 202246
8 201835
9 201928
10 202312
11 202312
12 20219
13 20227
14 20191

About Martin Pham

Martin Pham is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Molecular Biology, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 14 papers that have together received 469 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (11 papers), Advancements in Battery Materials (10 papers), Advanced Battery Materials and Technologies (8 papers), Fuel Cells and Related Materials (2 papers), Neural dynamics and brain function (1 paper), Photoreceptor and optogenetics research (1 paper), Reliability and Maintenance Optimization (1 paper) and Advanced Sensor and Energy Harvesting Materials (1 paper). The work is most often cited by research in Automotive Engineering (370 citations), Electrical and Electronic Engineering (375 citations), Bioengineering (10 citations), Control and Systems Engineering (39 citations) and Energy Engineering and Power Technology (5 citations). Martin Pham has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Dan J. L. Brett, Paul R. Shearing, James B. Robinson, Matthew D. R. Kok, Thomas M. M. Heenan, Francesco Iacoviello, Rhodri E. Owen, Donal P. Finegan, Julia S. Weaving and John J. Darst. Their work appears in journals such as Journal of Power Sources, Journal of Physics Energy, Energy & Environmental Science, Advanced Engineering Materials and Journal of Energy Storage.

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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