James Ford

3.1k total citations
74 papers, 2.0k citations indexed

About

James Ford is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, James Ford has authored 74 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 14 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in James Ford's work include Traumatic Brain Injury Research (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Automotive and Human Injury Biomechanics (6 papers). James Ford is often cited by papers focused on Traumatic Brain Injury Research (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Automotive and Human Injury Biomechanics (6 papers). James Ford collaborates with scholars based in United States, United Kingdom and China. James Ford's co-authors include Fillia Makedon, Laura A. Flashman, Thomas W. McAllister, Weihong Wang, Jonathan G. Beckwith, Richard M. Greenwald, Sheng Zhang, Songbai Ji, Keith D. Paulsen and Justin D. Pearlman and has published in prestigious journals such as NeuroImage, Neurology and Journal of Bacteriology.

In The Last Decade

James Ford

70 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Ford United States 24 555 477 426 372 313 74 2.0k
Suresh Subramaniam United States 35 1.1k 1.9× 181 0.4× 235 0.6× 403 1.1× 114 0.4× 280 4.9k
Takahiro Ogawa Japan 19 131 0.2× 505 1.1× 126 0.3× 150 0.4× 702 2.2× 429 2.1k
Xiaowei Xu China 19 107 0.2× 365 0.8× 63 0.1× 131 0.4× 419 1.3× 138 1.8k
Paul Dagum United States 29 473 0.9× 578 1.2× 78 0.2× 204 0.5× 42 0.1× 70 2.5k
Charence Wong United Kingdom 10 63 0.1× 679 1.4× 74 0.2× 90 0.2× 597 1.9× 20 2.1k
Wee Kheng Leow Singapore 20 101 0.2× 464 1.0× 65 0.2× 80 0.2× 732 2.3× 80 1.4k
Sanjiv Bhatia United States 27 70 0.1× 165 0.3× 60 0.1× 76 0.2× 253 0.8× 110 2.2k
Vasileios Megalooikonomou Greece 25 54 0.1× 531 1.1× 103 0.2× 50 0.1× 485 1.5× 136 1.9k
Daniele Ravì Italy 14 63 0.1× 714 1.5× 56 0.1× 83 0.2× 764 2.4× 38 2.2k
V́ıctor González-Castro Spain 20 70 0.1× 311 0.7× 162 0.4× 37 0.1× 245 0.8× 59 1.2k

Countries citing papers authored by James Ford

Since Specialization
Citations

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

Fields of papers citing papers by James Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Ford

This figure shows the co-authorship network connecting the top 25 collaborators of James Ford. A scholar is included among the top collaborators of James Ford 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 James Ford. James Ford 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
1.
Ford, James, et al.. (2024). Neuroimaging markers of cognitive fatigue in individuals with post-acute sequelae of SARS-CoV-2 infection. Brain and Cognition. 183. 106254–106254. 4 indexed citations
2.
Wang, Ji, James Ford, & Anirban Mitra. (2023). Defining the Role of Metastasis-Initiating Cells in Promoting Carcinogenesis in Ovarian Cancer. Biology. 12(12). 1492–1492. 1 indexed citations
3.
DiSano, Krista D., et al.. (2023). High throughput method for detecting murine brain atrophy using a clinical 3T MRI. BMC Medical Imaging. 23(1). 183–183. 2 indexed citations
4.
Ford, James, Stephen Guerin, Heather A. Wishart, et al.. (2021). Systemic coagulation is activated in patients with meningioma and glioblastoma. Journal of Neuro-Oncology. 155(2). 173–180. 9 indexed citations
5.
Flashman, Laura A., et al.. (2020). Differential Effects of Pergolide and Bromocriptine on Working Memory Performance and Brain Activation after Mild Traumatic Brain Injury. Journal of Neurotrauma. 38(2). 225–234. 3 indexed citations
6.
Mustafi, Sourajit M., Jaroslaw Harezlak, Chandana Kodiweera, et al.. (2019). Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging. PMC. 2 indexed citations
7.
McAllister, Thomas W., James Ford, Songbai Ji, et al.. (2011). Maximum Principal Strain and Strain Rate Associated with Concussion Diagnosis Correlates with Changes in Corpus Callosum White Matter Indices. Annals of Biomedical Engineering. 40(1). 127–140. 186 indexed citations
8.
Ouyang, Yi, et al.. (2007). Mobile anchor-free localization for wireless sensor networks. 96–109. 16 indexed citations
9.
Zhang, Sheng, Weihong Wang, James Ford, & Fillia Makedon. (2006). Learning from Incomplete Ratings Using Non-negative Matrix Factorization. 549–553. 253 indexed citations
10.
Xiong, Fei, et al.. (2005). An Extensible Framework for Sharing Clinical Guidelines and Services. PubMed. 4. 3155–3158. 2 indexed citations
11.
Wang, Zhifeng, et al.. (2005). An adaptive approach for image subtraction. PubMed. 3. 1818–1820. 1 indexed citations
12.
Huang, Heng, Fillia Makedon, James Ford, et al.. (2005). Efficient Similarity Retrieval for Temporal Shape Sequences: A Case Study using Cardiac MR Images. PubMed. 4. 3250–3253. 1 indexed citations
13.
Makedon, Fillia, et al.. (2005). A bipartite graph matching framework for finding correspondences between structural elements in two proteins. PubMed. 4. 2972–2975. 23 indexed citations
14.
Ye, Song, Fillia Makedon, & James Ford. (2004). Collaborative automated trust negotiation in peer-to-peer systems. 108–115. 17 indexed citations
15.
Makedon, Fillia, et al.. (2004). HykGene: a hybrid approach for selecting marker genes for phenotype classification using microarray gene expression data. Computer applications in the biosciences. 21(8). 1530–1537. 134 indexed citations
16.
Ye, Song, Fillia Makedon, Li Shen, et al.. (2003). SCENS: a system for the mediated sharing of sensitive data. 263–265. 8 indexed citations
17.
Saykin, Andrew J., Laura A. Flashman, Li Shen, et al.. (2001). Hippocampal shape in schizophrenia: A deformation-based morphometric analysis. NeuroImage. 13(6). 1096–1096. 1 indexed citations
18.
Shen, Li, et al.. (2000). Mining the Most Interesting Web Access Associations. World Conference on WWW and Internet. 2000(1). 489–494. 10 indexed citations
19.
Ford, James, et al.. (1999). Multimedia publishing systems. CRC Press, Inc. eBooks. 457–482.
20.
Barton, Russell R., Lee W. Schruben, James Ford, et al.. (1994). USMED: broadening the impact of simulation analysis methodology (panel). Winter Simulation Conference. 1382–1386. 1 indexed citations

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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