Mark A. Mikofski

2.2k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Mark A. Mikofski is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Mark A. Mikofski has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Renewable Energy, Sustainability and the Environment and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Mark A. Mikofski's work include Solar Radiation and Photovoltaics (18 papers), Photovoltaic System Optimization Techniques (15 papers) and Solar Thermal and Photovoltaic Systems (11 papers). Mark A. Mikofski is often cited by papers focused on Solar Radiation and Photovoltaics (18 papers), Photovoltaic System Optimization Techniques (15 papers) and Solar Thermal and Photovoltaic Systems (11 papers). Mark A. Mikofski collaborates with scholars based in United States, Denmark and Netherlands. Mark A. Mikofski's co-authors include William F. Holmgren, Clifford Hansen, Linda Gail Blevins, Christopher R. Shaddix, Tim Williams, Kevin Anderson, Adam R. Jensen, A. Carlos Fernandez‐Pello, Anton Driesse and A. Terao and has published in prestigious journals such as Solar Energy, Combustion and Flame and IEEE Journal of Photovoltaics.

In The Last Decade

Mark A. Mikofski

25 papers receiving 1.1k citations

Hit Papers

pvlib python: a python package for modeling solar energy ... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Mikofski United States 10 558 492 462 180 149 27 1.2k
Ke Sun China 15 359 0.6× 167 0.3× 374 0.8× 299 1.7× 202 1.4× 61 1.2k
Manuel Valdés Spain 18 680 1.2× 192 0.4× 186 0.4× 47 0.3× 84 0.6× 34 1.3k
Björn Laumert Sweden 25 1.2k 2.1× 212 0.4× 494 1.1× 82 0.5× 143 1.0× 122 1.8k
Ó.A. Jaramillo Mexico 22 851 1.5× 345 0.7× 638 1.4× 234 1.3× 51 0.3× 60 1.7k
John Pye Australia 25 1.5k 2.6× 317 0.6× 364 0.8× 98 0.5× 182 1.2× 127 2.2k
Kamal Mohammedi Algeria 13 983 1.8× 333 0.7× 412 0.9× 102 0.6× 60 0.4× 37 1.7k
A. Khalil Egypt 17 330 0.6× 311 0.6× 214 0.5× 90 0.5× 16 0.1× 38 842
R. Lanzafame Italy 23 126 0.2× 72 0.1× 228 0.5× 711 4.0× 590 4.0× 101 2.0k
Carlo Brancucci United States 16 156 0.3× 168 0.3× 825 1.8× 44 0.2× 21 0.1× 28 1.1k

Countries citing papers authored by Mark A. Mikofski

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Mikofski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Mikofski. 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 Mark A. Mikofski. The network helps show where Mark A. Mikofski may publish in the future.

Co-authorship network of co-authors of Mark A. Mikofski

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Mikofski. A scholar is included among the top collaborators of Mark A. Mikofski 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 Mark A. Mikofski. Mark A. Mikofski 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.
Newmiller, Jeff, Mark A. Mikofski, & William F. Holmgren. (2024). Bifacial ASTM2848 Capacity Testing with Outboard Sensors. 867–870. 1 indexed citations
2.
Jensen, Adam R., Kevin Anderson, William F. Holmgren, et al.. (2023). pvlib iotools—Open-source Python functions for seamless access to solar irradiance data. Solar Energy. 266. 112092–112092. 24 indexed citations
3.
Hansen, Clifford, Kevin Anderson, William F. Holmgren, et al.. (2023). pvlib 2023 update: pvlib-python, pvanalytics, twoaxistracking. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
4.
Anderson, Kevin, Clifford Hansen, William F. Holmgren, et al.. (2023). pvlib python: 2023 project update. The Journal of Open Source Software. 8(92). 5994–5994. 71 indexed citations
5.
Deceglie, Michael G., et al.. (2023). Perspective: Performance Loss Rate in Photovoltaic Systems. Solar RRL. 7(15). 10 indexed citations
6.
Hansen, Clifford, Kevin Anderson, William J. Vining, et al.. (2023). pvlib 2023 update: pvlib-python, pvanalytics, twoaxistracking. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
7.
Anderson, Kevin, et al.. (2022). The Effect of Inverter Loading Ratio on Energy Estimate Bias. 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC). 714–720. 2 indexed citations
8.
Neubert, Anja, et al.. (2020). Bifacial Solar Sensitivity to Project Capacity Size. 7. 703–706. 2 indexed citations
9.
Mikofski, Mark A., et al.. (2020). Tracker Terrain Losses. 1859–1862. 2 indexed citations
10.
Mikofski, Mark A., et al.. (2020). Energy Yield and Clipping Loss Corrections for Hourly Inputs in Climates with Solar Variability. 1330–1334. 9 indexed citations
11.
Warren, Emily L., Annick Anctil, Joseph J. Berry, et al.. (2020). The value of diversity in the renewable energy industry and research community. 652–654. 3 indexed citations
12.
Mikofski, Mark A., et al.. (2019). Bifacial Performance Modeling in Large Arrays. 1282–1287. 12 indexed citations
13.
Mikofski, Mark A., et al.. (2018). Accurate Performance Predictions of Large PV Systems with Shading using Submodule Mismatch Calculation. 3635–3639. 8 indexed citations
14.
Holmgren, William F., Clifford Hansen, Joshua S. Stein, & Mark A. Mikofski. (2018). Review of Open Source Tools for PV Modeling. 2557–2560. 12 indexed citations
15.
Holmgren, William F., Clifford Hansen, & Mark A. Mikofski. (2018). pvlib python: a python package for modeling solar energy systems. The Journal of Open Source Software. 3(29). 884–884. 734 indexed citations breakdown →
16.
Mikofski, Mark A., et al.. (2017). Accurate Modeling of Partially Shaded PV Arrays. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 3354–3359. 13 indexed citations
17.
Mikofski, Mark A., et al.. (2016). Evaluation and correction of the impact of spectral variation of irradiance on PV performance. 1357–1362. 4 indexed citations
18.
Mikofski, Mark A., David F. J. Kavulak, David Okawa, et al.. (2012). PVLife: An integrated model for predicting PV performance degradation over 25+ years. 1744–1749. 8 indexed citations
19.
Mikofski, Mark A., Tim Williams, Christopher R. Shaddix, A. Carlos Fernandez‐Pello, & Linda Gail Blevins. (2007). Structure of laminar sooting inverse diffusion flames. Combustion and Flame. 149(4). 463–478. 66 indexed citations
20.
Mikofski, Mark A., Tim Williams, Christopher R. Shaddix, & Linda Gail Blevins. (2006). Flame height measurement of laminar inverse diffusion flames. Combustion and Flame. 146(1-2). 63–72. 107 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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