Godwin Brown Tunze

504 total citations · 1 hit paper
8 papers, 294 citations indexed

About

Godwin Brown Tunze is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Godwin Brown Tunze has authored 8 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Godwin Brown Tunze's work include Wireless Signal Modulation Classification (3 papers), Artificial Intelligence in Healthcare (2 papers) and Complex Network Analysis Techniques (2 papers). Godwin Brown Tunze is often cited by papers focused on Wireless Signal Modulation Classification (3 papers), Artificial Intelligence in Healthcare (2 papers) and Complex Network Analysis Techniques (2 papers). Godwin Brown Tunze collaborates with scholars based in Tanzania, India and Qatar. Godwin Brown Tunze's co-authors include Jae‐Min Lee, Dong‐Seong Kim, Mounir Hamdi, Thien Huynh‐The, M. Poongodi, Sarita Simaiya, V. Vijayakumar, Amandeep Kaur, Abeer D. Algarni and Umesh Kumar Lilhore and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Computational and Mathematical Methods in Medicine and International Journal of Information Technology and Web Engineering.

In The Last Decade

Godwin Brown Tunze

8 papers receiving 281 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques

2022 124 citations Umesh Kumar Lilhore, M. Poongodi et al. Computational and Mathematical Methods in Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Godwin Brown Tunze Tanzania	7	139	49	47	42	34	8	294
Abdoh Jabbari Saudi Arabia	11	87 0.6×	13 0.3×	68 1.4×	34 0.8×	64 1.9×	31	310
Shakil Ahmed Bangladesh	8	137 1.0×	9 0.2×	28 0.6×	31 0.7×	21 0.6×	14	238
Chao Fan China	10	49 0.4×	17 0.3×	38 0.8×	89 2.1×	59 1.7×	36	276
Praneet Saurabh India	7	119 0.9×	8 0.2×	42 0.9×	24 0.6×	89 2.6×	24	272
Sudhir Sawarkar India	9	115 0.8×	9 0.2×	55 1.2×	84 2.0×	17 0.5×	60	299
Fatma Helmy Ismail Egypt	10	196 1.4×	8 0.2×	49 1.0×	57 1.4×	15 0.4×	19	348
Yunlei Sun China	7	161 1.2×	9 0.2×	63 1.3×	56 1.3×	60 1.8×	15	384
Yuzhen Ding China	10	112 0.8×	39 0.8×	98 2.1×	38 0.9×	131 3.9×	21	384

Countries citing papers authored by Godwin Brown Tunze

Since Specialization

Citations

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

Fields of papers citing papers by Godwin Brown Tunze

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Godwin Brown Tunze. 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 Godwin Brown Tunze. The network helps show where Godwin Brown Tunze may publish in the future.

Co-authorship network of co-authors of Godwin Brown Tunze

This figure shows the co-authorship network connecting the top 25 collaborators of Godwin Brown Tunze. A scholar is included among the top collaborators of Godwin Brown Tunze 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 Godwin Brown Tunze. Godwin Brown Tunze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Raj, L. Arun, et al.. (2022). Predicting Academic Performance of Immigrant Students Using XGBoost Regressor. International Journal of Information Technology and Web Engineering. 17(1). 1–19. 8 indexed citations

2.

Raja, Shreya, et al.. (2022). Autonomous Transaction Model for E-Commerce Management Using Blockchain Technology. International Journal of Information Technology and Web Engineering. 17(1). 1–14. 23 indexed citations

3.

Jayapandian, N., et al.. (2022). Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network. International Journal of Information Technology and Web Engineering. 17(1). 1–14. 17 indexed citations

4.

Lilhore, Umesh Kumar, M. Poongodi, Amandeep Kaur, et al.. (2022). Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques. Computational and Mathematical Methods in Medicine. 2022. 1–17. 124 indexed citations breakdown →

5.

Singh, Dharmendra Kumar, et al.. (2022). Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML. International Journal of Information Technology and Web Engineering. 17(1). 1–11. 21 indexed citations

6.

Tunze, Godwin Brown, Thien Huynh‐The, Jae‐Min Lee, & Dong‐Seong Kim. (2020). Multi-shuffled Convolutional Blocks for Low-complex Modulation Recognition. 939–942. 3 indexed citations

7.

Akter, Rubina, Van‐Sang Doan, Godwin Brown Tunze, Jae‐Min Lee, & Dong‐Seong Kim. (2020). RF-Based UAV Surveillance System: A Sequential Convolution Neural Networks Approach. 555–558. 26 indexed citations

8.

Tunze, Godwin Brown, Thien Huynh‐The, Jae‐Min Lee, & Dong‐Seong Kim. (2020). Sparsely Connected CNN for Efficient Automatic Modulation Recognition. IEEE Transactions on Vehicular Technology. 69(12). 15557–15568. 72 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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